SOTAVerified

Object Localization

Object Localization is the task of locating an instance of a particular object category in an image, typically by specifying a tightly cropped bounding box centered on the instance. An object proposal specifies a candidate bounding box, and an object proposal is said to be a correct localization if it sufficiently overlaps a human-labeled “ground-truth” bounding box for the given object. In the literature, the “Object Localization” task is to locate one instance of an object category, whereas “object detection” focuses on locating all instances of a category in a given image.

Source: Fast On-Line Kernel Density Estimation for Active Object Localization

Papers

Showing 451–500 of 617 papers

TitleStatusHype
Hand-Priming in Object Localization for Assistive Egocentric Vision—0
Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgettingCode0
A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data—0
Extending Class Activation Mapping Using Gaussian Receptive Field—0
ScanRefer: 3D Object Localization in RGB-D Scans using Natural LanguageCode0
Convolutional STN for Weakly Supervised Object LocalizationCode0
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection—0
Attributional Robustness Training using Input-Gradient Spatial AlignmentCode0
Sub-frame Appearance and 6D Pose Estimation of Fast Moving ObjectsCode0
Deep Mixture Density Network for Probabilistic Object Detection—0
Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation—0
Self-supervised Moving Vehicle Tracking with Stereo Sound—0
Towards Best Practice in Explaining Neural Network Decisions with LRPCode0
Deep Contextual Attention for Human-Object Interaction Detection—0
Combinational Class Activation Maps for Weakly Supervised Object LocalizationCode0
Explaining image classifiers by removing input features using generative modelsCode0
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization—0
Adaptively Denoising Proposal Collection forWeakly Supervised Object Localization—0
LIT: Light-field Inference of Transparency for Refractive Object Localization—0
Information Entropy Based Feature Pooling for Convolutional Neural Networks—0
DANet: Divergent Activation for Weakly Supervised Object LocalizationCode0
Embodied Amodal Recognition: Learning to Move to Perceive Objects—0
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization—0
Deep learning architectures for automated image segmentation—0
NEMO: Future Object Localization Using Noisy Ego Priors—0
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning—0
Dual-attention Focused Module for Weakly Supervised Object Localization—0
Weakly Supervised Localization Using Background Images—0
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyCode0
Attention-based Dropout Layer for Weakly Supervised Object LocalizationCode0
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network ModelsCode0
"Sliced" Subwindow Search: a Sublinear-complexity Solution to the Maximum Rectangle Problem—0
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping ImagesCode0
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation—0
Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration—0
Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A ReviewCode0
Parity Models: A General Framework for Coding-Based Resilience in ML Inference—0
FAST OBJECT LOCALIZATION VIA SENSITIVITY ANALYSIS—0
Tactile Mapping and Localization from High-Resolution Tactile Imprints—0
Compression and Localization in Reinforcement Learning for ATARI Games—0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
Embodied Visual Recognition—0
Detecting Lesion Bounding Ellipses With Gaussian Proposal NetworksCode0
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
Photorealistic Image Synthesis for Object Instance Detection—0
A Smoother Way to Train Structured Prediction ModelsCode0
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping ImagesCode0
Learning from Web Data: the Benefit of Unsupervised Object Localization—0
Grid R-CNNCode0
Generalized Coarse-to-Fine Visual Recognition with Progressive Training—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OSMaNRGSPL32.99—Unverified
2SUSARGSPL27.31—Unverified
3ShanksRGSPL22.85—Unverified
4CVPR22RGSPL22.06—Unverified
5damm1RGSPL15.96—Unverified
61637RGSPL14.03—Unverified
7init. PREVALENTRGSPL13.51—Unverified
8AirbertRGSPL13.28—Unverified
9init. OSCARRGSPL10—Unverified
10SIARGSPL9.2—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP89.35—Unverified
2VoxelNetAP89.35—Unverified
3Frustum PointNetsAP88.7—Unverified
4Frustum PointNetsAP81.2—Unverified
5VoxelNetAP77.47—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP48.3—Unverified
2Frustum PointNetsAP47.2—Unverified
3Frustum PointNetsAP40.23—Unverified
4VoxelNetAP38.11—Unverified
5VoxelNetAP31.51—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP52.23—Unverified
2Frustum PointNetsAP50.22—Unverified
3Frustum PointNetsAP42.15—Unverified
4VoxelNetAP40.74—Unverified
5VoxelNetAP33.69—Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP77.39—Unverified
2Frustum PointNetsAP75.33—Unverified
3Frustum PointNetsAP62.19—Unverified
4VoxelNetAP57.73—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP75.38—Unverified
2Frustum PointNetsAP71.96—Unverified
3VoxelNetAP66.7—Unverified
4VoxelNetAP61.22—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP61.96—Unverified
2Frustum PointNetsAP56.77—Unverified
3VoxelNetAP54.76—Unverified
4VoxelNetAP48.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP58.09—Unverified
2Frustum PointNetsAP51.21—Unverified
3VoxelNetAP46.13—Unverified
4VoxelNetAP39.48—Unverified
#ModelMetricClaimedVerifiedStatus
1Unified-IOXLLocalization (ablation)67—Unverified
2GPV-2Localization (ablation)53.6—Unverified
3Mask R-CNNLocalization (ablation)44.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP54.68—Unverified
2VoxelNeAP50.55—Unverified
3Frustum PointNetsAP50.39—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-Vision 4-shot+CoTAccuracy49.7—Unverified
2Gemini-Pro 4-shot+CoTAccuracy33.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP84—Unverified
2VoxelNetAP79.26—Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP60.98—Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossPrecision88.1—Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc41.2—Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc47.45—Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossF-Score88.6—Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossRecall89.2—Unverified